Example Concept: AI-driven user testing tools can automatically analyze recorded sessions, extract common user behaviors, and identify friction points. By using natural language processing (NLP) and machine learning algorithms, these tools summarize qualitative feedback and quantify user sentiment, enabling designers to focus on critical usability improvements and iterate designs more efficiently.